语言理解

  • 网络Language comprehension;Verbal Comprehension;comprehension
语言理解语言理解
  1. 语言理解的ERP研究

    Event-related Potential Studies of Language Comprehension

  2. 心理学家McGlone&Harding报告了在英语中视角对时间语言理解的作用,并提出人们存在MT视角的偏向。

    The experiments reported by psychologists McGlone & Harding suggest that people use perspective information in temporal language comprehension and are inclined to prefer the moving-time perspective .

  3. 基于自然语言理解的ISO标准WEB智能咨询系统研究

    Intelligent WEB Consultation System about ISO Standard Based on Natural Language Understanding

  4. Ontology技术在自然语言理解中的应用

    The application of the Ontology technology on the understanding of natural language

  5. 将Ontology与自然语言理解结合,通过建立基于Ontology技术的语义分析模型来提高语义理解的成功率。

    The Ontology technique is used in natural language understanding to improve the semantic analysis capacity .

  6. 基于Ontology的自然语言理解

    Ontology-Based Natural Language Understand

  7. 结合人工智能研究领域的自然语言理解、智能代理和计算机语言学理论,我们能够利用Internet这个大型数据库,从中挖掘有用的信息。

    With the techniques of Natural Language Understanding in Artificial Intelligence field , Intelligent Agent and Computer Language , we can mine useful information from the huge database - Internet .

  8. 领域本体作为一种能在语义和知识层次上描述信息的概念模型,在智能信息检索、知识获取、自然语言理解和Web信息处理等方面发挥着重要的作用。

    As a conceptual model of describing information in semantic level , domain ontology is becoming more and more important in intelligent information retrieval , knowledge acquisition , natural language understanding and Web information processing .

  9. 采用DCG(DefineClauseGrammar)方法实现的自然语言理解,出现了大量回溯。

    There is a lot of backtracking by using DCG ( Define Clause Grammar ) method with NLU ( Natural Language Understanding ) .

  10. Ontology与知识系统的知识库相融合,使得自然语言理解不仅仅是作为一种人机交互方式,而且能够与其它的基于知识的智能系统如专家系统整合。

    Ontology can merge with KB of knowledge system , which makes NLU not only a human-machine interactive manner , but also can in conformity to other intelligent system based on knowledge , such as expert system .

  11. 然后,根据自然语言理解篇章分析模型,设计实现了基于领域的汉语NLU篇章分析系统。

    Third , the Domain NLU discourse model is designed and realized according to the model .

  12. 【目的】探讨Broca失语与Wernicke失语患者语言理解障碍的特点及机制。

    【 Objective 】 To explore the feature and mechanism of language comprehension disorder of Broca and Wernicke aphasics .

  13. 自动问答系统(QuestionAnswerSystem,简称QAS)是一种基于因特网,运用了自然语言理解技术的高性能软件系统,能够自动解答人们提出的常规性的问题。

    The automatic question and answer system ( Question Answer System , is called QAS ) is the high performance software system that is based on Internet , with the use of the natural language understanding to answer the regular questions raised by people .

  14. 为了用户能够方便地获取本体知识,提出了基于自然语言理解的SPARQL本体查询。

    For users can conveniently access to ontology knowledge , Simple Protocol And RDF Query Language ( SPARQL ) ontology query based on natural language understanding was put forward .

  15. 全面介绍了本研究所涉及的各学科领域,包括语音识别、自然语言理解、人机交互,着重分析了W3C组织制订的多通道交互的技术框架和示范应用。

    Introduced most of related research fields such as ASR ( Automatic Speech Recognition ), NLP ( Nature Language Process ) and HCI ( Human-Computer Interaction ), and focused on the analysis of the architecture and framework of multimodal interaction formulated by W3C .

  16. 重点介绍了面向整个自然语言理解处理的新理论&概念层次网络(HNC)理论的主要内容及其进展,试图在理论层面上给出HNC理论的基本概貌。

    Emphases is then laid to present the novel theory of HNC which is oriented to every phase of NLU , with regard to its main contents and progresses . A notional sketch of HNC is attempted .

  17. HNC从实现语言理解的第一步&消除模糊出发,提出了一系列的处理方法和策略,有望将这一结构的理解推向一个新的台阶。

    Starting from the first step of realizing language comprehension-removing ambiguity , HNC comes up with a series of processing methods and strategies , expecting to push the ' comprehension ' of this structure to a new stage .

  18. 自然语言理解的核心问题在于语义理解。

    The key problem in natural language understanding is semantic understanding .

  19. 听力理解包括语言理解和语用理解两部分,而语用理解又包括对言语行为的理解和对话语隐含义的理解。

    The pragmatic comprehension included speech acts and conversational implicatures subsections .

  20. 中文信息检索系统中的自然语言理解技术研究

    Study on Natural Language Understanding of the Chinese Information Retrieval System

  21. 一个用于机器人自然语言理解的英语句法分析系统

    An English syntactic analysis system applied to robot natural language understanding

  22. 失语症语言理解障碍的测评及其机制探讨

    Exploration of Mechanism and Evaluation of Language Comprehension Disorder of Aphasia

  23. 语言理解中的抑制机制研究综述

    The role of suppression in language comprehension : A critical survey

  24. 论语言理解的超认知策略及培养

    Toward the Metacognitive Strategies in Language Comprehension and Their Developmental Instruction

  25. 语义分析是自然语言理解的基础。

    Semantic analysis is the basis of natural language understanding .

  26. 自然语言理解研究的若干基本问题的讨论

    Discussions on several basic problems of comprehension about natural language of computer

  27. 语境是阐释语言理解的基础。

    A context is a basis of elucidating language apprehension .

  28. 基于自然语言理解的模型自动选择研究

    Research on Automatic Model Selection Based on Natural Language Understanding

  29. 本实验对聋人和听力正常人在语言理解和生成上的差异进行了比较。

    Linguistic comprehension and productions of deaf and hearing students were compared .

  30. 自然语言理解系统的自动词汇扩展

    Automatic enrichment of lexicon in a natural language understanding system